David Howard
Cited by
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Evolving embodied intelligence from materials to machines
D Howard, AE Eiben, DF Kennedy, JB Mouret, P Valencia, D Winkler
Nature Machine Intelligence 1 (1), 12, 2019
Evolution of plastic learning in spiking networks via memristive connections
G Howard, E Gale, L Bull, B de Lacy Costello, A Adamatzky
IEEE Transactions on Evolutionary Computation 16 (5), 711-729, 2012
Direct 3D printing of highly anisotropic, flexible, constriction-resistive sensors for multidirectional proprioception in soft robots
S Mousavi, D Howard, F Zhang, J Leng, CH Wang
ACS applied materials & interfaces 12 (13), 15631-15643, 2020
A review of physics simulators for robotic applications
J Collins, S Chand, A Vanderkop, D Howard
IEEE Access 9, 51416-51431, 2021
A review of jamming actuation in soft robotics
SG Fitzgerald, GW Delaney, D Howard
Actuators 9 (4), 104, 2020
Organic memristor devices for logic elements with memory
V Erokhin, GD Howard, A Adamatzky
International Journal of Bifurcation and Chaos 22 (11), 1250283, 2012
Quantifying the reality gap in robotic manipulation tasks
J Collins, D Howard, J Leitner
2019 International Conference on Robotics and Automation (ICRA), 6706-6712, 2019
Real-world embodied AI through a morphologically adaptive quadruped robot
TF Nygaard, CP Martin, J Torresen, K Glette, D Howard
Nature Machine Intelligence 3 (5), 410-419, 2021
Evolving spiking networks with variable resistive memories
G Howard, L Bull, B de Lacy Costello, E Gale, A Adamatzky
Evolutionary computation 22 (1), 79-103, 2014
Parameter optimization and learning in a spiking neural network for UAV obstacle avoidance targeting neuromorphic processors
L Salt, D Howard, G Indiveri, Y Sandamirskaya
IEEE Transactions on Neural Networks and Learning Systems 31 (9), 3305-3318, 2019
Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF
GD Howard, L Bull, PL Lanzi
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009
Towards the targeted environment-specific evolution of robot components
J Collins, W Geles, D Howard, F Maire
Proceedings of the Genetic and Evolutionary Computation Conference, 61-68, 2018
Towards evolving spiking networks with memristive synapses
G Howard, E Gale, L Bull, B de Lacy Costello, A Adamatzky
2011 IEEE Symposium on Artificial Life (ALIFE), 14-21, 2011
An ultrasensitive 3D printed tactile sensor for soft robotics
S Mousavi, D Howard, S Wu, C Wang
arXiv preprint arXiv:1810.09236, 2018
A testbed that evolves hexapod controllers in hardware
H Heijnen, D Howard, N Kottege
2017 IEEE International Conference on Robotics and Automation (ICRA), 1065-1071, 2017
Evolving Spiking Networks for Turbulence-Tolerant Quadrotor Control
D Howard, A Elfes
ALIFE 14: The Fourteenth Conference on the Synthesis and Simulation of …, 2014
Self-adaptive constructivism in neural xcs and xcsf
GD Howard, L Bull, PL Lanzi
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
A spiking neural representation for XCSF
G Howard, L Bull, PL Lanzi
IEEE Congress on Evolutionary Computation, 1-8, 2010
Benchmarking simulated robotic manipulation through a real world dataset
J Collins, J McVicar, D Wedlock, R Brown, D Howard, J Leitner
IEEE Robotics and Automation Letters 5 (1), 250-257, 2019
A platform for the direct hardware evolution of quadcopter controllers
D Howard, T Merz
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
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